{"id":"https://openalex.org/W4416582756","doi":"https://doi.org/10.1109/access.2025.3636208","title":"Joint-Driven Model for Wind Power Abnormal Data Cleaning","display_name":"Joint-Driven Model for Wind Power Abnormal Data Cleaning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416582756","doi":"https://doi.org/10.1109/access.2025.3636208"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3636208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636208","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3636208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008188849","display_name":"Yingchun Guan","orcid":"https://orcid.org/0000-0002-6897-6064"},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingchun Guan","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039320194","display_name":"Lingjun Mou","orcid":"https://orcid.org/0000-0002-4152-5650"},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ling Mou","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-0619-7620"},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-0619-7620","affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044991376","display_name":"Dechao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dechao Yang","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063715771","display_name":"Lu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Zhu","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109619744","display_name":"W. Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenqiong Ye","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362341","display_name":"Xuan Liu","orcid":"https://orcid.org/0000-0002-9331-6543"},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Liu","raw_affiliation_strings":["Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Energy Group Renewables Development Company Ltd., Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]},{"raw_affiliation_string":"Hubei Energy Group Renewables Development Co., Ltd, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210137149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210137149"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38600719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"200696","last_page":"200710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5590000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.5590000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.051100000739097595,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.04259999841451645,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.8027999997138977},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6930999755859375},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6793000102043152},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5807999968528748},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4422999918460846},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.4242999851703644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41999998688697815},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41370001435279846},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.41290000081062317}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.8027999997138977},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6930999755859375},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6793000102043152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693999767303467},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3804999887943268},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.37630000710487366},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.35929998755455017},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33410000801086426},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C2779665505","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Power quality","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.25619998574256897},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3636208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636208","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e3fe158137564a07985f02e78fd705c2","is_oa":true,"landing_page_url":"https://doaj.org/article/e3fe158137564a07985f02e78fd705c2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 200696-200710 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3636208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3636208","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,88,98,119,125,162,189],"rapid":[2],"expansion":[3],"of":[4,10,102,121,128],"wind":[5,12,21,27,52,180,200],"farms":[6],"worldwide,":[7],"effective":[8],"monitoring":[9],"numerous":[11],"turbines":[13],"has":[14],"become":[15],"essential.":[16],"Abnormal":[17],"data":[18,55,84],"cleaning":[19,85],"in":[20],"power":[22,53,181,201],"curves":[23,182],"is":[24,115,141],"crucial":[25],"for":[26,51],"farm":[28],"operation":[29],"and":[30,39,48,68,100,109,124,146],"maintenance,":[31],"as":[32],"it":[33],"often":[34],"influences":[35],"turbine":[36],"fault":[37],"detection":[38],"extreme":[40],"condition":[41],"analysis.":[42],"This":[43],"paper":[44],"proposes":[45],"a":[46,106,132,137,171],"knowledge-":[47,108],"data-joint-driven":[49,110],"model":[50,164],"abnormal":[54],"cleaning.":[56,184],"Existing":[57],"methods":[58,123],"can":[59],"be":[60],"broadly":[61],"classified":[62],"into":[63],"two":[64],"categories:":[65],"knowledge-driven":[66],"(KD)":[67],"data-driven":[69],"(DD)":[70],"approaches.":[71],"The":[72],"former":[73],"relies":[74],"on":[75,91],"explicit":[76,145],"features":[77,93],"extracted":[78],"through":[79,131],"subjective":[80],"experience,":[81],"which":[82],"limits":[83],"performance,":[86],"whereas":[87],"latter":[89],"depends":[90],"implicit":[92,147],"that":[94,161],"are":[95],"sensitive":[96],"to":[97,117,143,178,198],"quantity":[99],"quality":[101],"recorded":[103],"data.":[104],"Therefore,":[105],"multi-constraint-guided,":[107],"convolutional":[111],"neural":[112],"network":[113],"(MC-CNN)":[114],"proposed":[116,163,190],"integrate":[118],"robustness":[120],"KD":[122],"learning":[126],"ability":[127],"DD":[129],"models":[130],"joint":[133],"training":[134],"process.":[135],"Furthermore,":[136],"multi-attention":[138],"(MA)":[139],"mechanism":[140],"introduced":[142],"fuse":[144],"features,":[148],"thereby":[149],"improving":[150],"feature":[151],"discrimination":[152],"compared":[153],"with":[154,170,186],"conventional":[155],"concatenation":[156],"methods.":[157],"Experimental":[158],"results":[159],"show":[160],"achieves":[165],"an":[166],"accuracy":[167],"exceeding":[168],"92%,":[169],"root":[172],"mean":[173],"square":[174],"error":[175],"(RMSE)":[176],"comparable":[177],"real":[179],"after":[183],"Compared":[185],"existing":[187],"techniques,":[188],"approach":[191],"demonstrates":[192],"significant":[193],"improvement,":[194],"even":[195],"when":[196],"applied":[197],"small-sample":[199],"curves.":[202]},"counts_by_year":[],"updated_date":"2025-12-03T23:09:05.601824","created_date":"2025-11-25T00:00:00"}